Practice Dynamic Programming Approach - 3.4 | 3. Common Subwords and Subsequences | Design & Analysis of Algorithms - Vol 3
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3.4 - Dynamic Programming Approach

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a subword?

💡 Hint: Think about how you can take parts of a word

Question 2

Easy

What is the time complexity of the brute-force algorithm for finding longest common subwords?

💡 Hint: Consider how many comparisons you are making.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the focus of the longest common subword problem?

  • Finding the subword itself
  • Determining the length of the longest subword
  • Identifying mismatched characters

💡 Hint: Remember that we start by calculating length before deriving the subword.

Question 2

True or False: The brute-force algorithm is the most efficient method for finding the longest common subword.

  • True
  • False

💡 Hint: Consider the time complexity of brute-force versus dynamic programming.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the strings 'abcdef' and 'zabcyfd', what is the length of the longest common subword?

💡 Hint: Consider breaking down each string and checking for the longest matching segment.

Question 2

Implement a table to compute the longest common subword length between 'hello' and 'world'. Analyze and explain your results.

💡 Hint: Map the characters in a grid to visualize matches.

Challenge and get performance evaluation